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DTL — Down The Line

Down The Line at North Of England C.T.C

North Of England C.T.C

Saturday, 10 January 2026 · CPSA Results →

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Event Rating

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Entries

95.3%

Field Average

98.3%

Highest Score

93.3%

Lowest Score

Top 3 Overall

🥈

David Garrett

290/300

96.67%

🥇

Nigel Chapman

295/300

98.33%

🥉

Richard Blacker

288/300

96.00%

Event Difficulty

95.3% This Event

vs. North Of England C.T.C historical average (Down The Line)

↑ +1.8% easier than usual

Ground avg: 93.5%

Class Winners

AA 3 entered

295/300 — 98.33%

Nigel Chapman

2: David Garrett — 96.67%

A 5 entered

287/300 — 95.67%

Nigel Lovatt(tied) Shaun Pullman(tied)

3: Stuart Kitchen — 94.67%

B 2 entered

288/300 — 96.00%

Richard Blacker

2: Katie Parker — 93.33%

Field Shape

95.3%

Field avg

Down The Line at North Of England C.T.C had a 5.0 point scoring spread across 10 entries.

Spread 5.0 pts

Front 98.3%

Largest class A

A compact read of how the field performed: average, spread and where most shooters sat.

Score Distribution

90–100%

10 100.0%

80–89%

0 0.0%

70–79%

0 0.0%

60–69%

0 0.0%

50–59%

0 0.0%

<50%

0 0.0%

Field Achievement

% of competitors reaching each score threshold

90%+

100.0%

10 / 10

80%+

100.0%

10 / 10

70%+

100.0%

10 / 10

60%+

100.0%

10 / 10

50%+

100.0%

10 / 10

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Register free for historical ground trends, class averages and spread, score charts, class composition and a detailed classification breakdown.

Historical Trends at North Of England C.T.C

Down The Line performance across events held at this ground.

Last 12 months

Overall Average Trend

Classification Trend Comparison

Classification Deep Dive

3 active classifications

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

—

Member insight

Typical —

Best —

Lowest —

Middle 50% score range

vs Ground Avg (12m)—

Event Performance Analysis

Registered insight

Average by Class

Class averages make it easier to see where the event played hardest across the field.

Field Spread by Class

95.3-98.3%

93.3-95.7%

93.3-96.0%

Boxes show the middle 50% of each class. Orange line is the median.

Top 10 Score Lollipop

A quick visual read of how far the front of the field separated itself.

Score Histogram

High gun: 98.3%. The high-gun band is outlined.

Class Breakdown

Rotate your device to see High/Low scores and the class winner

Class	Count	Average	High	Low	Winner
AA	3	96.8%	98.3%	95.3%	Nigel Chapman
A	5	94.7%	95.7%	93.3%	Nigel Lovatt
B	2	94.7%	96.0%	93.3%	Richard Blacker

Class Composition

3 30.0%

5 50.0%

2 20.0%

Largest class: A — 5 competitors (50.0%)

Full Results — 10 entries

🔒 The Class Rank and vs Class Avg columns are hidden — register free to unlock both insights.

Class AA

Score 295/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 290/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 288/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 287/300

vs Class Avg +0.0%

Profile Open →

Class AA

Score 286/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 284/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 283/300

vs Class Avg +0.0%

Profile Open →

Class A

Score 280/300

vs Class Avg +0.0%

Profile Open →

Class B

Score 280/300

vs Class Avg +0.0%

Profile Open →

#	Name	Class	Score	Score %	Class Rank 🔒	vs Class Avg
1	Nigel Chapman	AA	295/300	98.33%	🔒 1	🔒 +0.0%
2	David Garrett	AA	290/300	96.67%	🔒 1	🔒 +0.0%
3	Richard Blacker	B	288/300	96.00%	🔒 1	🔒 +0.0%
4=	Nigel Lovatt	A	287/300	95.67%	🔒 1	🔒 +0.0%
4=	Shaun Pullman	A	287/300	95.67%	🔒 1	🔒 +0.0%
6	Paul Chaplow	AA	286/300	95.33%	🔒 1	🔒 +0.0%
7	Stuart Kitchen	A	284/300	94.67%	🔒 1	🔒 +0.0%
8	Mark Child	A	283/300	94.33%	🔒 1	🔒 +0.0%
9=	David Magill	A	280/300	93.33%	🔒 1	🔒 +0.0%
9=	Katie Parker	B	280/300	93.33%	🔒 1	🔒 +0.0%

Other DTL Events at North Of England C.T.C

⚙ Performance Stats DRAG TO MOVE

0.024s ● FAST

DB 53% · Py 35% · Render 12%

12 queries · avg 1.1ms · max 1.9ms

Render Breakdown

DB Logic (Pre-Render) 0.0126s

Python Logic (Pre-Render) 0.0083s

Full Page Render 0.0027s

QUERY TABLES ▾

⚠ event_review 4× 0.003s

shoot_event 2× 0.003s

shoot_score 2× 0.003s

site_configuration 2× 0.002s

ground 1× 0.001s

admin_menu_item 1× 0.001s

⚠ = queried 3+ times (cache candidate)

SQL QUERIES (12) — click to expand

#1 [04:24:54.994] 1.6ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#2 [04:24:54.995] 1.1ms

shoot_score

SELECT shoot_score.id AS shoot_score_id, shoot_score.targets AS shoot_score_targets, shoot_score.hits AS shoot_score_hits, shoot_score.points AS shoot_score_points, shoot_score.percentage AS shoot_score_percentage, shoot_score.shooter_id AS shoot_score_shooter_id, shoot_score.event_id AS shoot_score…

#3 [04:24:54.998] 1.9ms

shoot_score

SELECT avg(shoot_score.percentage) AS avg_1 
FROM shoot_score JOIN shoot_event ON shoot_score.event_id = shoot_event.id 
WHERE shoot_event.ground = %(ground_1)s AND shoot_event.discipline = %(discipline_1)s AND shoot_event.is_scraped = true AND shoot_event.admin_hidden != true AND shoot_event.id != …

#4 [04:24:55.000] 1.1ms

shoot_event

SELECT shoot_event.id AS shoot_event_id, shoot_event.cpsa_fixture_id AS shoot_event_cpsa_fixture_id, shoot_event.name AS shoot_event_name, shoot_event.date AS shoot_event_date, shoot_event.discipline AS shoot_event_discipline, shoot_event.ground AS shoot_event_ground, shoot_event.url AS shoot_event_…

#5 [04:24:55.002] 0.9ms

event_review

SELECT avg(event_review.rating) AS avg_1, count(event_review.id) AS count_1 
FROM event_review 
WHERE event_review.event_id = %(event_id_1)s

#6 [04:24:55.003] 0.9ms

event_review

SELECT count(*) AS count_1 
FROM (SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.review…

#7 [04:24:55.004] 0.9ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#8 [04:24:55.006] 0.8ms

event_review

SELECT event_review.id AS event_review_id, event_review.event_id AS event_review_event_id, event_review.rating AS event_review_rating, event_review.review_text AS event_review_review_text, event_review.reviewer_name AS event_review_reviewer_name, event_review.reviewer_hash AS event_review_reviewer_h…

#9 [04:24:55.007] 0.9ms

ground

SELECT ground.id AS ground_id, ground.name AS ground_name, ground.url AS ground_url, ground.postcode AS ground_postcode, ground.what3words AS ground_what3words, ground.email AS ground_email, ground.website AS ground_website, ground.num_events_cpsa AS ground_num_events_cpsa, ground.num_events_cpsa_la…

#10 [04:24:55.008] 0.9ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key LIKE %(key_1)s OR site_configuration.key LIKE %(key_2)s

#11 [04:24:55.010] 0.8ms

site_configuration

SELECT site_configuration.id AS site_configuration_id, site_configuration.key AS site_configuration_key, site_configuration.value AS site_configuration_value 
FROM site_configuration 
WHERE site_configuration.key IN (%(key_1_1)s, %(key_1_2)s, %(key_1_3)s, %(key_1_4)s)

#12 [04:24:55.011] 0.8ms

admin_menu_item

SELECT DISTINCT admin_menu_item.active_tab AS admin_menu_item_active_tab 
FROM admin_menu_item

LIVE REQUESTS (0) — click to expand

Down The Line at North Of England C.T.C

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Historical Trends at North Of England C.T.C

Classification Deep Dive

Event Performance Analysis

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